In this assignment we
interested in portion of the west of the island of the island of Java in
Indonesia that we can called this is study are. And the purpose of this
assignment is to introduce a new user to image enhancement using ER Mapper.
Topics to be covered in this assignment include: image enhancement, histogram
manipulation, land-cover interpre tation and plotting. Raw image often have low
contrast and the detection of individual features may be difficult which thereby
makes it necessary to enhance an image for displaying various land cover types.
Objective
Overall enhancement �Using histogram of the entire
TM image provided obtain an enhancement that clearly distinguishes between
features for the entire area. There is usually a fine line between the
enhancement of one feature and the saturation of anther. Balance this
�trade �off� to obtain a satisfactory overall image. Use a composite
of 3 different bands of your choice.
Interpretation � Examine the enhanced image to
distinguish land cover types and features. This includes 1) Urban features,
2) geological features, 3) turbid water, 4) deep clear water, 5) smoke/haze,
6) agriculture, 7) natural vegetative cover, 8)wetland and any other feature
of interest. Based on the discussion of spectral reflectance, choose
appropriate band combinations for this. Examination of one band at a time
will be useful here. Determine the band(s)that we fine give the best results
for each feature.
Specific Cover Type enhancement � Based on the
interpretation results, create a series of enhancements that emphasize some
of the feature types on the interpretation table. Expect that there will be
some degradation of the overall image in order to distigui9sh these features
type. You are required to create enhanced images of the following features:
1) water and near shore features, 2.vegetation types, and3.
Urban/villages/roads.
Plotting � experiment with plotting capabilities of
ER Mapper. Prepare a plot layout or a set of plot layouts that display the
overall enhancement and the feature type enhancements. As a minimum, the
plot (s) must include: The enhancement type, scale, projection information,
a little and subtitle describing the plot and location, and the author and
year. There are various options within ER Mapper to enable the automation of
most of these, which will be discussed in the labs.
Background
information
Image enhancement can be defined as
conversion of the image quality to a better and more understandable lever for
feature extraction or image interpretation. In the enhancement techniques
include gray scale conversion, histogram conversion, color composition color
conversion between RGB and HIS, etc which are usually applied to the image
output for image interpretation. And the interpretation it have had eight
elements are mostly used in image interpretation; size, shape, shadow, tone,
color, texture, pattern and associated relationship or context. And plotting it
is plot layout that we would like to display the overall enhancement and the
feature s type enhancement, which in this assignment we are not actually
plotting the map compositions, we are just saving them to as file, because the
paper is white.
